Kyle W. Sloop
-
- Diabetes Treatment and Management 47
- Growth Hormone and Insulin-like Growth Factors 7
-
- Regulation of Appetite and Obesity 8
- Physiology top 2%
- Adipose Tissue and Metabolism 10
- Pharmacology top 1%
-
- Neuropeptides and Animal Physiology 15
-
- Pancreatic function and diabetes 30
-
- Receptor Mechanisms and Signaling 26
- Metabolism, Diabetes, and Cancer 9
- Co-authors
- Francis S. WillardMatthew P. CoghlanAaron D. ShowalterRicardo J. SammsSimon J. RhodesLawrence J. SliekerDavid A. D’AlessioTamer Coşkun
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Kyle W. Sloop
87 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Endocrinology, Diabetes and Metabolism 2.7k
- Endocrine and Autonomic Systems 689
- Physiology 1.2k
- Pharmacology 715
- Cellular and Molecular Neuroscience 721
Countries citing papers authored by Kyle W. Sloop
This map shows the geographic impact of Kyle W. Sloop's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kyle W. Sloop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle W. Sloop more than expected).
Fields of papers citing papers by Kyle W. Sloop
This network shows the impact of papers produced by Kyle W. Sloop. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kyle W. Sloop. The network helps show where Kyle W. Sloop may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kyle W. Sloop, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 23 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 74 | |
| 9 | 2022 | 10 | |
| 10 | 2020 | 29 | |
| 11 | Tirzepatide is an imbalanced and biased dual GIP and GLP-1 receptor agonistbreakdown → | 2020 | 314 |
| 12 | LY3298176, a novel dual GIP and GLP-1 receptor agonist for the treatment of type 2 diabetes mellitus: From discovery to clinical proof of conceptbreakdown → | 2018 | 603 |
| 13 | 2014 | 11 | |
| 14 | 2014 | 132 | |
| 15 | 2012 | 44 | |
| 16 | 2010 | 34 | |
| 17 | 2004 | 13 | |
| 18 | 2001 | 37 | |
| 19 | 2001 | 13 | |
| 20 | 2000 | 30 |
About Kyle W. Sloop
Kyle W. Sloop is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 89 papers that have together received 5.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (47 papers), Pancreatic function and diabetes (30 papers), Receptor Mechanisms and Signaling (26 papers), Neuropeptides and Animal Physiology (15 papers), Adipose Tissue and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Regulation of Appetite and Obesity (8 papers) and Growth Hormone and Insulin-like Growth Factors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.7k citations), Endocrine and Autonomic Systems (689 citations) and Physiology (1.2k citations). Kyle W. Sloop has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Francis S. Willard, Matthew P. Coghlan, Aaron D. Showalter, Ricardo J. Samms, Simon J. Rhodes, Lawrence J. Slieker, David A. D’Alessio, Tamer Coşkun, Daniel A. Briere and Shweta Urva. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, Gene, Endocrinology and Molecular Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.